ICDAR 2013 competition on gender prediction from handwriting
Author | Hassaine A. |
Author | Al-Maadeed, Somaya |
Author | Aljaam J. |
Author | Jaoua A. |
Available date | 2022-05-19T10:23:14Z |
Publication Date | 2013 |
Publication Name | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/ICDAR.2013.286 |
Abstract | The prediction of gender from handwriting is a very interesting research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in gender prediction from handwriting. This competition has been hosted on Kaggle, it has attracted 194 teams from both academia and industry. This paper gives details on this competition, including the dataset used, the evaluation procedure and description of participating methods and their performances. |
Language | en |
Publisher | IEEE |
Subject | Gender predictions Research fields Forecasting Research Competition |
Type | Conference |
Pagination | 1417-1421 |
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Computer Science & Engineering [2426 items ]